Critical assessment of protein intrinsic disorder prediction
| العنوان: | Critical assessment of protein intrinsic disorder prediction |
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| المؤلفون: | Necci, Marco, Piovesan, Damiano, Hoque Md, Tamjidul, Walsh, Ian, Iqbal, Sumaiya, Vendruscolo, Michele, Sormanni, Pietro, Wang, Chen, Raimondi, Daniele, Sharma, Ronesh, Zhou, Yaoqi, Litfin, Thomas, Galzitskaya Oxana, Valerianovna, Lobanov Michail, Yu, Vranken, Wim, Wallner, Björn, Mirabello, Claudio, Malhis, Nawar, Dosztányi, Zsuzsanna, Erdős, Gábor, Mészáros, Bálint, Gao, Jianzhao, Wang, Kui, Hu, Gang, Wu, Zhonghua, Sharma, Alok, Hanson, Jack, Paliwal, Kuldip, Callebaut, Isabelle, Bitard-Feildel, Tristan, Orlando, Gabriele, Peng, Zhenling, Xu, Jinbo, Wang, Sheng, Jones David, T., Cozzetto, Domenico, Meng, Fanchi, Yan, Jing, Gsponer, Jörg, Cheng, Jianlin, Wu, Tianqi, Kurgan, Lukasz, Promponas Vasilis, J., Tamana, Stella, Marino-Buslje, Cristina, Martínez-Pérez, Elizabeth, Chasapi, Anastasia, Ouzounis, Christos, Dunker A., Keith, Kajava Andrey, V., Leclercq Jeremy, Y., Aykac-Fas, Burcu, Lambrughi, Matteo, Maiani, Emiliano, Papaleo, Elena, Chemes Lucia, Beatriz, Álvarez, Lucía, González-Foutel Nicolás, S., Iglesias, Valentin, Pujols, Jordi, Ventura, Salvador, Palopoli, Nicolás, Benítez Guillermo, Ignacio, Parisi, Gustavo, Bassot, Claudio, Elofsson, Arne, Govindarajan, Sudha, Lamb, John, Salvatore, Marco, Hatos, András, Monzon Alexander, Miguel, Bevilacqua, Martina, Mičetić, Ivan, Minervini, Giovanni, Paladin, Lisanna, Quaglia, Federica, Leonardi, Emanuela, Davey, Norman, Horvath, Tamas, Kovacs Orsolya, Panna, Murvai, Nikoletta, Pancsa, Rita, Schad, Eva, Szabo, Beata, Tantos, Agnes, Macedo-Ribeiro, Sandra, Manso Jose, Antonio, Pereira Pedro José, Barbosa, Davidović, Radoslav, Veljkovic, Nevena, Hajdu-Soltész, Borbála, Pajkos, Mátyás, Szaniszló, Tamás, Guharoy, Mainak, Lazar, Tamas, Macossay-Castillo, Mauricio, Tompa, Peter, Tosatto Silvio C., E., Caid, Predictors, DisProt, Curators |
| المساهمون: | Università degli Studi di Padova = University of Padua (Unipd), Institut de minéralogie, de physique des matériaux et de cosmochimie (IMPMC), Muséum national d'Histoire naturelle (MNHN)-Institut de recherche pour le développement [IRD] : UR206-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Necci, Marco [0000-0001-9377-482X], Piovesan, Damiano [0000-0001-8210-2390], Tosatto, Silvio C. E. [0000-0003-4525-7793], Apollo - University of Cambridge Repository, Informatics and Applied Informatics, Chemistry, Basic (bio-) Medical Sciences, Department of Bio-engineering Sciences, Faculty of Sciences and Bioengineering Sciences, Structural Biology Brussels, Tosatto, Silvio CE [0000-0003-4525-7793], ANR-17-CE12-0016,FUNBRCA2,Caractérisation d'un nouveau site de liaison à l'ADN dans la protéine BRCA2(2017), Universita degli Studi di Padova, CAID Predictors, DisProt Curators |
| المصدر: | Nature Methods Nature Methods, 2021, 18 (5), pp.472-481. ⟨10.1038/s41592-021-01117-3⟩ Nature Methods, Nature Publishing Group, 2021, ⟨10.1038/s41592-021-01117-3⟩ CONICET Digital (CONICET) Consejo Nacional de Investigaciones Científicas y Técnicas instacron:CONICET Nature Methods, 2021, ⟨10.1038/s41592-021-01117-3⟩ Dipòsit Digital de Documents de la UAB Universitat Autònoma de Barcelona Nature Methods, Nature Publishing Group, 2021, 18 (5), pp.472-481. ⟨10.1038/s41592-021-01117-3⟩ |
| بيانات النشر: | HAL CCSD, 2021. |
| سنة النشر: | 2021 |
| مصطلحات موضوعية: | Protein Folding, Protein Conformation, Computer science, 631/45/612, analysis, [SDV]Life Sciences [q-bio], purl.org/becyt/ford/1.7 [https], MESH: Amino Acid Sequence, Biochemistry, purl.org/becyt/ford/1 [https], Protein structure, MESH: Protein Conformation, 631/114/2398, Databases, Protein, Biological sciences, ComputingMilieux_MISCELLANEOUS, MESH: Intrinsically Disordered Proteins, 0303 health sciences, 030302 biochemistry & molecular biology, disorder, Critical assessment, Protein folding, Protein Binding, Biotechnology, MESH: Computational Biology, MESH: Databases, Protein, disorder prediction, MESH: Protein Folding, Computational biology, Intrinsically disordered proteins, Orders of magnitude (entropy), 03 medical and health sciences, MESH: Software, Computational platforms and environments, 631/114/2411, Machine learning, Molecule, MESH: Protein Binding, [INFO]Computer Science [cs], Amino Acid Sequence, Molecular Biology, 030304 developmental biology, business.industry, Deep learning, Computational Biology, Proteins, Cell Biology, 631/114/1305, Intrinsically Disordered Proteins, CAID, 631/114/794, Protein structure predictions, Artificial intelligence, business, Software |
| الوصف: | Intrinsically disordered proteins, defying the traditional protein structure–function paradigm, are a challenge to study experimentally. Because a large part of our knowledge rests on computational predictions, it is crucial that their accuracy is high. The Critical Assessment of protein Intrinsic Disorder prediction (CAID) experiment was established as a community-based blind test to determine the state of the art in prediction of intrinsically disordered regions and the subset of residues involved in binding. A total of 43 methods were evaluated on a dataset of 646 proteins from DisProt. The best methods use deep learning techniques and notably outperform physicochemical methods. The top disorder predictor has Fmax = 0.483 on the full dataset and Fmax = 0.792 following filtering out of bona fide structured regions. Disordered binding regions remain hard to predict, with Fmax = 0.231. Interestingly, computing times among methods can vary by up to four orders of magnitude. Results are presented from the first Critical Assessment of protein Intrinsic Disorder prediction (CAID) experiment, a community-based blind test to determine the state of the art in predicting intrinsically disordered regions in proteins. |
| وصف الملف: | application/pdf; text/xml |
| اللغة: | English |
| تدمد: | 1548-7091 1548-7105 |
| الوصول الحر: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::038090046479130e4d0ff797fc08550fTest https://hal.sorbonne-universite.fr/hal-03329755/documentTest |
| حقوق: | OPEN |
| رقم الانضمام: | edsair.doi.dedup.....038090046479130e4d0ff797fc08550f |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 15487091 15487105 |
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